【24h】

UNCERTAINTY ESTIMATION ON GPS TIME TRANSFER

机译:GPS时间转移的不确定性估算

获取原文

摘要

The traditional GPS common view technique, using C/A code receivers, is the main time transfer method used by various timing laboratories over the world. Moreover, this method is used to realize the TAI (Temps Atomique International) and the TA (F) (Temps Atomique Fran?ais). Clock offsets between laboratory clocks are determined according to a fixed procedure defined by the CCTF (Comité Consultatif du Temps et des Fréquences). Using this procedure, one can perform on average 54 tracks per day (theoretically 90 tracks per day), providing clock offsets. Each of these clock offsets results from one 780’s track and is obtained as a result of a quadratic regression, followed by various model-based corrections and finally a linear regression. The clock offsets are then issued with their standard deviations. However, this simplified estimate does not take into account the statistical properties of the different types of noise present in the measurement. We propose here to rigorously estimate this time uncertainty for various types of noise that characterize the transmitted GPS time offset data. This is achieved by the calculation of the covariance matrix of time samples. This method provides us with the variances of the drift coefficients and of the residuals, in the case of a linear drift model for 1-day sample sets, taking into account the different types of noise. In this paper, we compare the obtained results with simulated and real data over several days.
机译:传统的GPS公共视图技术,使用C / A代码接收器是各种时序实验室在世界上使用的主要时间转移方法。此外,该方法用于实现Tai(Temps Atomique International)和TA(F)(Temps Atomique Fran?AIS)。实验室时钟之间的时钟偏移根据CCTF定义的固定程序确定(ComitéCourceatifdu Temps et desfréquences)。使用此过程,可以平均每天执行54个曲目(每天90个曲目),提供时钟偏移。这些时钟中的每一个偏移来自一个780的轨道,并且由于二次回归而获得,其次是基于模型的校正,最后是线性回归。然后发出时钟偏移,并以标准偏差发出。然而,这种简化的估计没有考虑测量中存在的不同类型噪声的统计特性。我们在此提出严格估计这次对特征的各种类型的噪声的不确定性,其特征在于发送的GPS时间偏移数据。这是通过计算相协方差的时间样本来实现。该方法为我们提供了漂移系数的差异和残差,在为1天样本集的线性漂移模型的情况下,考虑到不同类型的噪声。在本文中,我们将获得的结果与数天的模拟和实际数据进行比较。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号